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Generation of Monoclonal Antibodies Reactive with Human Colon Carcinomas

  • Raffaella Muraro
  • David Wunderlich
  • Jeffrey Schlom

Abstract

Monoclonal antibodies have been generated that are reactive with human colon carcinomas. The rationale for the studies was to utilize extracts from patient biopsy material (and not colon cancer cell lines) as immunogen to increase the probability that any monoclonal antibody generated be reactive with colon carcinomas in a clinical setting. Five immunization protocols were used employing extracts and membrane enriched fractions from both primary and metastatic colon carcinoma lesions. Twenty nine monoclonal antibodies from double-cloned hybridoma cultures have been characterized; all are of the IgG isotope. Preliminary results indicate that the monoclonal antibodies can be placed into 15 groups on the basis of their differential reactivities to six colon carcinoma extracts, the surface of three colon carcinoma cell lines and five partially purified CEA preparations from bloods of colon cancer patients. Some of the monoclonal antibodies were shown to bind from one to five of the five CEA preparations, while others showed no anti-CEA reactivity. None of the 29 monoclonal antibodies reacted with extracts of 21 normal human tissues including livers, spleens, kidneys, red blood cells, (of several blood groups), or polymorphonuclear leucocytes. All the 29 monoclonal antibodies could be distinguished, on the basis of differential reactivities to various tumors and normal human tissues, from several monoclonal antibodies (B1.1, B6.2, B72.3) reactive with colon carcinomas that have been previously generated in our laboratory. Further immunohistochemical and radiolocalization studies will further define the potential clinical utility of the monoclonals described.

Keywords

Colon Carcinoma Colon Cancer Patient Colon Carcinoma Cell Line Normal Human Tissue Human Colon Adenocarcinoma 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1984

Authors and Affiliations

  • Raffaella Muraro
    • 1
  • David Wunderlich
    • 1
  • Jeffrey Schlom
    • 1
  1. 1.National Cancer InstituteNational Institutes of HealthBethesdaUSA

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